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Ford Motor Company संयुक्त राज्य अमेरिका की एक ऑटोमोबाइल निर्माता कंपनी है, जिसका इतिहास 1903 से जुड़ा है। वाहनों के विकास और उत्पादन के अलावा, कंपनी मोबिलिटी सेवाओं, डिजिटल अनुभवों और सॉफ़्टवेयर पर भी अपना ध्यान बढ़ा रही है। Ford के कार्यों में स्थिरता से जुड़े प्रयास और पर्यावरणीय लक्ष्य भी शामिल हैं, जो परिवहन, नवाचार, सामुदायिक प्रभाव और जिम्मेदार व्यावसायिक प्रक्रियाओं को जोड़ने वाले दृष्टिकोण को दर्शाते हैं।
Director of Cloud Platform Engineering
Lead Ford’s GCP database and analytics platforms, setting strategy for database-as-a-service, SaaS consolidation, and agentic AI data cloud initiatives.
संयुक्त राज्य
मिशिगन$1,41,700 – $2,68,300 / वर्ष
रिमोटपूर्णकालिकलीडआवश्यक भाषा: अंग्रेज़ीक्लाउड इंजीनियरविवरण
- Set the long-term direction for Ford’s cloud database and analytics platforms.
- Promote platform engineering through self-service APIs, golden paths, paved roads, and clear service-level objectives.
- Define and manage database and analytics infrastructure as version-controlled, testable code.
- Recruit, mentor, and lead a global team of platform engineers, architects, and site reliability engineers.
- Design and run Google Cloud database platforms using Cloud SQL, Spanner, AlloyDB, Bigtable, and Firestore.
- Lead platform engineering for BigQuery and Ford’s wider analytics stack.
- Develop governed self-service data pipelines and reusable analytics tools.
- Build golden-path templates, service APIs, and infrastructure-as-code automation.
- Direct Ford’s cloud database-as-a-service strategy.
- Establish database architecture patterns that guide technology choices to fit specific needs.
- Work with Product Development Organizations on design reviews, reference architectures, and reusable templates.
- Lead company-wide SaaS database consolidation and cost reduction.
- Oversee platform lifecycles, including versioning, patching, upgrades, end-of-life tracking, and retirement.
- Manage vendor contracts and negotiate enterprise agreements.
- Set Ford’s strategy for an agentic data cloud.
- Develop patterns for database MCP servers.
- Lead Knowledge Catalog deployment and Conversational Analytics rollout.
- Set safeguards and human review controls in line with Ford’s Agentic AI Rubric.
- Partner with Google product and engineering teams on proof-of-concept designs and service launch frameworks.
आवश्यकताएँ
- Bring 15 or more years of experience in software engineering, cloud architecture, and data platform services, including substantial leadership work.
- Have led platform engineering for large-scale GCP database and analytics environments, including Cloud SQL, Spanner, AlloyDB, Bigtable, Firestore, and BigQuery.
- Demonstrate strong hands-on knowledge of infrastructure-as-code tools and practices.
- Have direct experience with SaaS database platforms such as MongoDB, Neo4j, Elastic, and Redis.
- Have experience delivering enterprise-scale consolidation and cost optimization.
- Show a track record of owning DBaaS and defining fit-for-purpose database architecture patterns adopted by application or product teams.
- Have experience with agentic AI and data platform concepts, including MCP servers, Knowledge Catalog, Conversational Analytics, and AI governance frameworks.
- Bring a strong background in DevOps and SRE practices, automation, CI/CD, and observability.
- Hold a bachelor’s degree.
- Be legally authorized to work in the United States.
- Note that visa sponsorship is not available.
- A master’s degree is preferred.
लाभ
- Medical, dental, vision, and prescription coverage begins immediately.
- Flexible days for family care.
- Paid parental leave.
- Programs to help new parents transition back to work.
- Subsidized backup child care.
- Family-building support, including adoption and surrogacy expense reimbursement.
- Fertility treatment coverage.
- Vehicle discounts for employees and family members.
- Management vehicle leases.
- Tuition assistance.
- Active employee resource groups.
- Paid time for individual and team community service.
- A generous paid holiday calendar, including the week between Christmas and New Year’s Day.
- Paid time off.
- The option to buy additional vacation time.
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